Business and Economics
Analyze text data in R using the tidy framework.
Text data is becoming more and more crucial in various applications, such as marketing analytics, as it is widely available and cost-effective. This has led to a shift from other forms of unstructured data to text. However, in order to fully utilize the potential of text data, it is essential to understand how to approach, clean, summarize, and model it effectively. In this course, we will equip you with the latest tidy tools that will enable you to efficiently begin working with text data. You will gain knowledge on how to manipulate and present text data, conduct sentiment analysis, and run and interpret topic models. By the end of this course, you will have the skills necessary to leverage text data for valuable insights and informed decision-making.
by DataCamp
Analyze text data in R using the tidy framework.
by DataCamp
Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.
by DataCamp
Learn sentiment analysis by identifying positive and negative language, specific emotional intent an...
by DataCamp
Learn how to load, transform, and transcribe speech from raw audio files in Python.
by DataCamp
In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and dat...
by DataCamp
Learn to use SQL Server to perform common data manipulation tasks and master common data manipulatio...
by DataCamp
Learn about AWS Boto and harnessing cloud technology to optimize your data workflow.
by DataCamp
Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.
by DataCamp
Learn fundamental natural language processing techniques using Python and how to apply them to extra...
by DataCamp
Learn how to use ChatGPT. Discover best practices for writing prompts and explore common business us...